Congo vs Mauritania: School life expectancy, primary and lower secondary, gender parity ind
School life expectancy, primary and lower secondary, gender parity ind over time
- Congo
- Mauritania
How they compare
Mauritania currently reports 1.06 GPI against 1.06 GPI in Congo, a difference of 0 GPI.
The two have swapped places 1 time across 8 shared years of data; in 1999 it was Mauritania ahead.
Congo ranks 7th and Mauritania ranks 6th of 188 countries.
Across the 3 decades both report, Congo averaged higher in 1 and Mauritania in 2.
Head to head by decade
| Decade | Congo | Mauritania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.852 GPI | 0.944 GPI | 0.0921 GPI | Mauritania |
| 2000s | 0.8863 GPI | 0.971 GPI | 0.0847 GPI | Mauritania |
| 2010s | 1.06 GPI | 1.02 GPI | 0.0338 GPI | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity ind, Congo or Mauritania?
- Mauritania, at 1.06 GPI against 1.06 GPI in Congo as of 2019.
- What is the difference in school life expectancy, primary and lower secondary, gender parity ind between Congo and Mauritania?
- 0 GPI, with Mauritania ahead.
- How many years of comparable data are there for Congo and Mauritania?
- 8 years are reported by both, from 1999 to 2012.
- How do Congo and Mauritania rank globally for school life expectancy, primary and lower secondary, gender parity ind?
- Congo ranks 7th and Mauritania ranks 6th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, primary and lower secondary, gender parity index (GPI). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Ratio of female school life expectancy to the male school life expectancy. It is calculated by dividing the female value for the indicator by the male value for the indicator. A GPI equal to 1 indicates parity between females and males. In general, a value less than 1 indicates disparity in favor of males and a value greater than 1 indicates disparity in favor of females.